Abstract: We propose a novel framework combining masked autoencoders (MAEs) with deep reinforcement learning (DRL) for robust user pairing in uplink FDMA-NOMA under imperfect channel state information ...

It is similar to locate or get-command. The code is compatible with Windows, Linux, and MacOS. The function will return the full file system path to the executable file requested, or null if the file ...

Abstract: Efficient and fair resource allocation is a critical challenge in modern semantic communication systems, particularly in scenarios where numerous users compete for limited resources.

The project is an implementation of the Gilbert-Johnson-Keerthi (GJK) algorithm to check for intersections between custom mesh colliders. A working demo is available in the releases.